定位点的布置会在很大程度上影响薄板焊接装配在法向的变形。针对传统定位点布置优化仅仅研究薄板在外力作用下的变形,利用有限元分析理论,构建了考虑薄板在外力作用的变形和定位点位置两方面影响的薄板装配模型。采用影响系数法构建了偏差源对装配误差的影响系数矩阵,并创建以影响系数的绝对值最小为目标函数的数学优化模型。利用遗传算法求解模型最优解,提出了考虑边界与夹紧点的新型抽样方法来提高该算法初始点的均布性,计算结果表明偏差源对装配误差的影响系数与优化前相比减小了90%。
The layout of locating points can effectively reduce the deformation of sheet metal assemblies in the normal direction. To contrapose the traditional locating point configuration optimization that only focuses on the deformation of parts under a given force, an assembly model of sheet metal parts was constructed based on finite element theory, which considered the combined impact of part deformation under a given force and locating point position. Influence coefficient matrix was built by using the influence coefficient method, and a mathematical optimization model was created by taking the least absolute value of influence coefficient as objective function. Finally, the genetic algorithm (GA) is used to seek the optima of the model, and a new method of sampling with consideration of boundary and fixture point is presented to improve uniformity of the initial point of the algorithm. The calculation results show that the influence coefficient of deviation source to assembly error reduced 90 percent compared with that before optimization.